{"id":"https://openalex.org/W2963593455","doi":"https://doi.org/10.1609/aaai.v33i01.3301427","title":"Text Assisted Insight Ranking Using Context-Aware Memory Network","display_name":"Text Assisted Insight Ranking Using Context-Aware Memory Network","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2963593455","doi":"https://doi.org/10.1609/aaai.v33i01.3301427","mag":"2963593455"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.3301427","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.3301427","pdf_url":"https://aaai.org/ojs/index.php/AAAI/article/download/3814/3692","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://aaai.org/ojs/index.php/AAAI/article/download/3814/3692","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039125805","display_name":"Qi Zeng","orcid":"https://orcid.org/0000-0002-3696-1538"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qi Zeng","raw_affiliation_strings":["Stony Brook University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stony Brook University","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061709723","display_name":"Liangchen Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangchen Luo","raw_affiliation_strings":["Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101562765","display_name":"Wenhao Huang","orcid":"https://orcid.org/0000-0001-7557-1391"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wenhao Huang","raw_affiliation_strings":["Shanghai Discovering Investment"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Discovering Investment","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077694060","display_name":"Yang Tang","orcid":"https://orcid.org/0000-0001-7328-7709"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Tang","raw_affiliation_strings":["Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07207994,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":"01","first_page":"427","last_page":"434"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9825999736785889,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9807000160217285,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8098278045654297},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7936004400253296},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6263467073440552},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5805220603942871},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5755248665809631},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5261200070381165},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4979543685913086},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49505630135536194},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.48960810899734497},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48726311326026917},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.4721187353134155},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.46700724959373474},{"id":"https://openalex.org/keywords/header","display_name":"Header","score":0.42998558282852173},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3551493287086487}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8098278045654297},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7936004400253296},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6263467073440552},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5805220603942871},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5755248665809631},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5261200070381165},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4979543685913086},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49505630135536194},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48960810899734497},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48726311326026917},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.4721187353134155},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.46700724959373474},{"id":"https://openalex.org/C48105269","wikidata":"https://www.wikidata.org/wiki/Q1141160","display_name":"Header","level":2,"score":0.42998558282852173},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3551493287086487},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v33i01.3301427","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.3301427","pdf_url":"https://aaai.org/ojs/index.php/AAAI/article/download/3814/3692","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/3814","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/3814","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v33i01.3301427","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.3301427","pdf_url":"https://aaai.org/ojs/index.php/AAAI/article/download/3814/3692","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320308943","display_name":"Microsoft Research","ror":"https://ror.org/00d0nc645"},{"id":"https://openalex.org/F4320333993","display_name":"Microsoft Research Asia","ror":"https://ror.org/0300m5276"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2963593455.pdf","grobid_xml":"https://content.openalex.org/works/W2963593455.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1552767446","https://openalex.org/W1559591183","https://openalex.org/W1565838812","https://openalex.org/W1708221419","https://openalex.org/W2036385401","https://openalex.org/W2115584760","https://openalex.org/W2120391124","https://openalex.org/W2128877075","https://openalex.org/W2143331230","https://openalex.org/W2149007912","https://openalex.org/W2204900930","https://openalex.org/W2294895571","https://openalex.org/W2409591106","https://openalex.org/W2518579368","https://openalex.org/W2523790121","https://openalex.org/W2592469568","https://openalex.org/W2739046565","https://openalex.org/W2752442988","https://openalex.org/W2758133400","https://openalex.org/W2769637628","https://openalex.org/W2962905474","https://openalex.org/W2963091658","https://openalex.org/W2963448850","https://openalex.org/W2963541420","https://openalex.org/W6607690188","https://openalex.org/W6631190155","https://openalex.org/W6633435641","https://openalex.org/W6633798977","https://openalex.org/W6637533267","https://openalex.org/W6659579723","https://openalex.org/W6677385034","https://openalex.org/W6681369196","https://openalex.org/W6681891949","https://openalex.org/W6734107126","https://openalex.org/W6741923079"],"related_works":["https://openalex.org/W2171597999","https://openalex.org/W2189136227","https://openalex.org/W1866537546","https://openalex.org/W630850086","https://openalex.org/W3200508093","https://openalex.org/W4372053344","https://openalex.org/W3193978431","https://openalex.org/W2519240373","https://openalex.org/W2379752180","https://openalex.org/W3160516639"],"abstract_inverted_index":{"Extracting":[0],"valuable":[1],"facts":[2],"or":[3,43],"informative":[4],"summaries":[5],"from":[6],"multi-dimensional":[7],"tables,":[8],"i.e.":[9],"insight":[10,42,73,82],"mining,":[11],"is":[12,37],"an":[13,41,81],"important":[14],"task":[15],"in":[16,144],"data":[17,70,96,105],"analysis":[18],"and":[19,31,55,103,108,116],"business":[20],"intelligence.":[21],"However,":[22],"ranking":[23,74,83,92,121,140],"the":[24,53,65,72,95,100,104,120,139],"importance":[25],"of":[26,52,59,67,87],"insights":[27],"remains":[28],"a":[29,46,49,57,109,126],"challenging":[30],"unexplored":[32],"task.":[33],"The":[34],"main":[35],"challenge":[36],"that":[38,85,134],"explicitly":[39],"scoring":[40],"giving":[44],"it":[45],"rank":[47],"requires":[48],"thorough":[50],"understanding":[51],"tables":[54],"costs":[56],"lot":[58],"manual":[60],"efforts,":[61],"which":[62],"leads":[63],"to":[64],"lack":[66],"available":[68],"training":[69],"for":[71],"problem.":[75],"In":[76],"this":[77],"paper,":[78],"we":[79],"propose":[80],"model":[84,93,112],"consists":[86],"two":[88],"parts:":[89],"A":[90],"neural":[91],"explores":[94],"characteristics,":[97],"such":[98],"as":[99,142],"header":[101],"semantics":[102],"statistical":[106],"features,":[107],"memory":[110],"network":[111],"introduces":[113],"table":[114],"structure":[115],"context":[117],"information":[118],"into":[119],"process.":[122],"We":[123],"also":[124],"build":[125],"dataset":[127],"with":[128],"text":[129],"assistance.":[130],"Experimental":[131],"results":[132],"show":[133],"our":[135],"approach":[136],"largely":[137],"improves":[138],"precision":[141],"reported":[143],"multi":[145],"evaluation":[146],"metrics.":[147]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}